Senior Accountants and Auditors (APAC/MEA & NA)

You will create and evaluate finance and accounting tasks for AI training and model evaluation. The role includes contributor and senior reviewer work, such as writing benchmarks, scoring responses, and improving evaluation rules.

The listed partner title is Senior Accountants and Auditors (APAC/MEA & NA), while the duties focus on finance, accounting, investment, and audit evaluation. Review the duties and qualifications carefully before applying.

• Design exercises covering three-statement models, discounted cash flow analysis, LBO and M&A frameworks, audit workpapers, and technical accounting.
• Create standard solution sets and clear methods for finance and accounting benchmarks.
• Score and critique financial calculations, valuation approaches, and accounting treatments using established rubrics.
• Review peer submissions, resolve accounting or valuation edge cases, and suggest clearer rubric guidance.
• Use structured peer feedback to improve solution quality across project cycles.

The listing does not provide a pay rate. This is a remote contractor engagement lasting 12 weeks.

• Time: 20+ hours per week.
• Schedule: Includes four hours of overlap with Pacific Standard Time.
• Location: Open worldwide.
• Language: Professional fluency in English.
• Level: Listed as entry level.
• Skills: Advanced financial modeling, including balance sheet, income statement, and cash flow reconciliation.
• Knowledge: Variance analysis, valuation or audit frameworks, and US GAAP or IFRS.
• Judgment: Ability to find calculation errors, model logic flaws, accounting-standard errors, and documentation gaps.
• Credentials: An active CFA, CPA, CA, CMA, or equivalent credential is strongly preferred.
• Education: A bachelor's degree or equivalent practical experience is accepted.
• Helpful experience: AI evaluation, data annotation, content review, or quality assurance.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. People write, review, and score examples so AI systems can produce more accurate and useful results; experienced finance and accounting professionals help evaluate specialized work that requires sound domain judgment.